Framework: Test data introduction
On what study is this generator based?
The generator is based on the paper
"Novel dual discounting functions for the Internet shopping optimization problem: new algorithms"
written by Jacek Blazewicz, Nathanael Cheriere, Pierre-Francois Dutot, Jedrzej Musial and Denis Trystram.
You can download an exerpt of that paper with the following link (details for this generator are discussed on chapter 5):
Download the paper (PDF, ~1.4Mo)
What will I find in a generated file?
No matter the format you choose, the generated file will contain 10 columns and ([number of shops]*[number of products]) lines.
Here a are a detail of the columns you'll find :
| Name | Type | Description |
|---|---|---|
| shopid | integer | Shop unique id, starting at 1. |
| shopname | string | Shop unique name (human-friendly version of shopid). |
| delivery | integer | Delivery cost per order in that shop. |
| delivery50 | float | Delivery bonus if the total order amount is >= 50€. Can be 0 (no bonus), 0.5 (50% bonus) or 1 (free delivery). |
| delivery100 | float | Delivery bonus if the total order amount is >= 100€. Can be 0 (no bonus), 0.5 (50% bonus) or 1 (free delivery). |
| discount50 | float | Discount if the total order amount is >= 50€. Can be 0 (no discount), 0.05 (5% discount) or 0.1 (10% discount). |
| discount100 | float | Discount if the total order amount is >= 100€. Can be 0 (no discount), 0.05 (5% discount) or 0.1 (10% discount). |
| productid | integer | Product unique id, starting at 1. |
| productname | string | Product unique name (human-friendly version of productid). |
| price | int | Price of this product in this shop. |